CS Trading Bot Strategy - Crypto EditionWhat is this strategy about?
The CS Trading Bot Strategy is for researching the most lucrative Crypto assets to be selected for in the corresponding Study (that actually generates alerts/signals).
The Strategy is very profitable for a vast amount of Crypto assets and the algorithm behind is not overfitted.
How to use it?
As a rule of thumb, the best time-frames are the 4h, 3h, 2h and 1h (sometimes 30M and 45M).
For many high profile/volume assets such as BTC, ETH and XRP the Daily is very profitable, as well. Weekly and Monthly time-frames should be avoided.
It is not recommended to apply this strategy to new assets with only a few weeks of history. I recommend a history of at least 6 months and 5 trades in the Strategy stats.
In the Strategy settings, you can adjust the time-span to see how the Strategy performs in certain conditions like bear-markets (see for example 4H on BTCUSDT from Jan 2018 - March 2019).
What to look for on researching?
If you are researching, make sure to look for these metrics in the Strategy overview:
Linear equity growth (especially over a larger period of time)
Low drawdown
Profitability above 50%
Average gain per trade of 5%
A satisfying profit for your selected time-span
Min. 5 trades, better 10
Min. 6 Months time-span
As a head-start, I suggest to research on the following assets, so you get a feeling about what to look for based on the list above:
POLONIEX:BTCUSDT
POLONIEX:ETHUSDT
POLONIEX:XRPUSDT
Why Poloniex? Because it has a long history for these assets...
Once you determined your favorite assets, you are ready to add the corresponding Study and within, set alerts for them.
Here the Webhooks are very interesting as you can forward your signals to your own trading bot or simply wait until my trading bot is available (currently in development)
Since I develop myself, rest assured it will be available soon. Look out for comments below as soon as it is available!
The bot is a commercial package including:
This Strategy for finding the best assets
The Study for setting alerts based on the best assets (webhooks, emails, popups, etc)
Access to our automated trading bot (separate download, as soon as available)
How to access?
If you are interested to get access to the complete package, please don't hesitate to send me a private message for a quote.
The amount of concurrent users using the package (=licenses) is limited to max. 500 a month (more we cannot manually handle has Tradingview has no automation for this yet).
Access to the bot package is based on a monthly basis. If you get access, you will asked in person at the end of the month if you want to continue or not.
Поиск скриптов по запросу "profit"
PD Crypto Performer PRO (Backtest)Description:
This is the backtesting version of the PD Crypto Performer Pro (Alert) . You can choose to backtest either one of the two strategies included, a trend-identifying swing strategy and a low risk scalping strategy. Both strategies assume the same capital amount invested ($10,000) each trade. You can also see how your capital grows over time by enabling the reinvesting proceeds option. For details, please check out this tutorial .
The backtesting results could be easily improved in live trading by utilizing the “Take Profit” signals and following the recommended methods of use below.
To assist the decision-making process, the code currently references BTCUSD. As a result, it is only suitable for crypto traders. However, we are working on the stock and forex versions, and the Performer will have these compatibilities soon.
Most importantly, our signals DO NOT REPAINT !
Recommended Use:
- Time Frame: 1HR
- Asset: Large cap crypto assets.
For lower risk tolerance, we recommend using the indicator on ETHUSD. For maximizing profits, we recommend using the indicator on BCHUSD.
- Always set stop loss according to your own risk tolerance
- Take profits along the way. Check out this video tutorial for when to reenter after our take profit signals.
Recommended Use for Advanced Traders:
- Position sizing:
Larger position if the 1HR signal is in the same direction compared to the 4HR trend.
Smaller position if the 1HR signal is in the opposite direction compared to the 4HR trend.
- Better entry/exit points:
Track the 1HR signal for the asset you are trading on other exchanges along with the BTCUSD 1HR signal. Sometimes, the signals from different exchanges occur with a 1-2 hour difference. You could use these earlier signals along with a lower time frame (eg. 15min) entry confirmation from your own exchange for better entry / exit points.
- Use “Take Profit” signals for counter trend scalps. Recover at the reentering opportunities . This works best with candlestick pattern confirmations.
Never use this if you suspect a flag / inverted flag pattern is forming.
Go to www.phi-deltalytics.com and sign up for a FREE trial today!
Let us know if you have any questions or recommendations. We are here for your success!
Disclaimer:
It should not be assumed that the methods, techniques, or indicators presented will be profitable or that they will not result in losses. Past results are not necessarily indicative of future results. This is not a solicitation of any order to buy or sell.
JackTrendChaser V3Hi everyone! I am so thrilled to announce this!
>> LIMITED TIME OFFER, read below! <<
My name is Jack and I have been trading trends using TA on Forex for 10 years now and have within the past two years been trading Bitcoin and other cryptocurrencies.
I am a part time trader and developer. On a daily basis I work as a software developer creating various algorythms for big data usage - such as machine learning etc. and I have found a passion in creating scripts to predict major trend moves. Which is why I would like to share this script (strategy) with you all!
Looking at the stats it looks amazing! 100% profitability - who doesn't want that?! But that doesn't mean it cannot be improved - I am daily looking into how I can improve this to become even more profitable.
Currently the script have been tested with BTC and ETH:
BTC = 100% profitability and 9 trades since 2016
ETH = 83% profitability and 6 trades since 2016 with a drawdown of $5.
Now - 9 and 6 trades since 2016 isn't many trades but it suites my way of trading perfectly! I aim for the major trends and try to hit the pullbacks as soon as possible.
You can use this script alone or with other complimenting indicators. I like to draw some support and resistance levels for even further verification.
TRIAL OFFER:
Everyone is offered a 15 days trail.
Let me know in the comments if you would like a trail. Please do not PM me for trails.
>> LIMITED TIME OFFER <<
Since this is my first script to publish on TradingView I am offering the FIRST 10 traders a LIFETIME access to the script for a very small price! After that everyone else will be able to buy acces for 1m, 6m, 1y or lifetime (but at a higher price).
So how do you become one of the first 10?! Simpel - just PM me for the details.
I will update this post when the first 10 has been chosen.
>> OBS: I might be away from TradingView up to 24hours at a time because of my job - but don't panic! I will keep track of every message and get back to everyone as soon as possible!
Best regards
Jack
QuantCat 15M Trend Strategy [Crypto]**NOTE: IF YOU DO NOT OWN TRADINGVIEW PRO YOUR STRATEGIES WILL TAKE DATA FROM A SMALLER SAMPLE SIZE, AND THUS GIVE LESS ACCURATE BACKTESTING RESULTS TO THE ONES WE SHOW (LINKS WITH STEP 3) AND OPTIMISED OUR STRATEGIES WITH**
QuantCat 15M Crypto Trend Strategy
This strategy will allow you to absolutely smash the Crypto/USD pairs. We have optimised this strategy to work best for the Crypto/USD pairs on the 15 minute time frame. There are 4 pairs that we optimised the strategy to work for. There are a few main steps are as follows to use the strategy in it's most efficient manner-
1. Pyramiding orders needs to be set to 2 for maximum efficiency of the strategy due to aggressive and conservative entries, recommended % of equity per trade = 10-50%.
2. 15 Minute time frame needs to be applied (obvious, we know).
3. Pairs we used to optimise and backtest the strategy should ideally be used when using the strategy-
BTC/USD - prntscr.com
LTC/USD - prntscr.com
BCH/USD - prntscr.com
ETH/BTC - prntscr.com
XRP/BTC - prntscr.com
LTC/BTC - prntscr.com
We have a list of Visual and Technical features that are implemented into our strategy to make sure it is easy to use, consistent and giving it the highest chance of being profitable.
Visual Features
Colored candles- a visual to notification of an entry.
Stop-loss line- a horizontal red line to show the user where the stop-loss has been placed. Our testing proved a horizontal stop was more profitable than implementation of a trailing.
Price Bands- a dynamic price band to show the direction of the trend and support zones.
Technical Features
Trend Confirmation- Our algorithm fires entries only on trend confirmation and looks to trade the move for as long as it can, while also filtering out any false entries.
Aggressive and Conservative Entries- Two different types of entries have been incorporated in the strategy to maximise profit.
If you have discord alerts access, be sure to watch out in the discord for entries!
QuantCat 15M Crypto Trend StrategyQuantCat 15M Crypto Trend Strategy
This strategy will allow you to absolutely smash the Crypto/USD pairs. We have optimised this strategy to work best for the Crypto/USD pairs on the 15 minute time frame. There are 4 pairs that we optimised the strategy to work for. There are a few main steps are as follows to use the strategy in it's most efficient manner-
1. Pyramiding orders needs to be set to 2 for maximum efficiency of the strategy.
2. 15 Minute timeframe needs to be applied (obvious, we know)
3. Pairs we used to optimise and backtest the strategy should ideally be used when using the strategy-
BTC/USD
ETH/USD
LTC/USD
BCH/USD
We have a list of Visual and Technical features that are implemented into our strategy to make sure it is easy to use, consistent and giving it the highest chance of being profitable.
Visual Features
Colored candles- a visual to notification of an entry.
Stop-loss line- a horizontal red line to show the user where the stop-loss has been placed. Our testing proved a horizontal stop was more profitable than implementation of a trailing.
Price Bands- a dynamic price band to show the direction of the trend and support zones.
Technical Features
Trend Confirmation- Our algorithm fires entries only on trend confirmation and looks to trade the move for as long as it can, while also filtering out any false entries.
Aggressive and Conservative Entries- Two different types of entries have been incorporated in the strategy to maximise profit.
If you have discord alerts access, be sure to watch out in the discord for entries!
kiska clouds backtest editionkiska clouds: crypto twitter's next cloud meme
Crypto is a fast-paced, highly-volatile asset, therefore, many traditional strategies are thrown out of the window when applied to cryptocurrency markets. In trading, there are only two things known for sure: price and volume . Price and volume data is then manipulated using various math equations in an effort to discover patterns and/or make predictions. kiska clouds are no different.
The kiska clouds are a simple crossover strategy. The clouds are different because of the unique averages being used and the embedded momentum indicator .
To use the clouds is simple:
When the green line crosses above the pink line, you buy/long.
When the green line crosses below the pink line, you sell/short.
The clouds are indicative of the trend's momentum. Using the power of math, the larger the cloud indicates a higher amount of buying/selling pressure. As the cloud thins, momentum is slowing, and the trend may be reversing.
At the time of testing, the strategy had a profitability of 54.55% accuracy with 1133.41% net profit. While I think this could be automated into a bot, adding a human element with stop losses and further analysis will significantly improve the accuracy/profitability.
This indicator is the backtest version of the kiska clouds (). For a trial or to purchase this indicator, send me a message on Twitter @moonkiska or here on TradingView. You will be granted a 2-3 day trial period to the backtesting strategy.
BitcoinNinjas Ninja Signals Buy/Sell Alert Trading Strategy v3.0Bitcoin Ninjas 'Ninja Signals' Buy/Sell Alerts & Backtesting TradingView Script v3.0
(for Cryptocurrencies, Forex, GunBot, ProfitTrailer, automatic trading software, and more)
This is version 3 of our popular Ninja Signals trading script, which is similar to version 2, but with a new hard-coded calibration (resolution) setting that automatically matches candle size (period) to ensure that no repainting occurs regardless of the number or type of indicators and filters traders apply when configuring the script.
'Ninja Signals' v3.0 (SCRIPT)
'Ninja Signals' v3.0 (STRATEGY)
'Ninja Signals' v2.0 (SCRIPT)
'Ninja Signals' v2.0 (STRATEGY)
'Ninja Signals' v1.0 (SCRIPT)
'Ninja Signals' v1.0 (STRATEGY)
-Allows users to easily set automated buy and sell alerts on TradingView for use with automatic and manual trading of cryptocurrencies, Forex securities, and more (alerts are compatible with automatic trading software such as GunBot, ProfitTrailer, and more).
-Synthesizes many powerful indicators [e.g. Relative Strength Index (RSI), stochastic RSI, Money Flow Index (MFI), Moving Average Convergence Divergence (MACD), etc.) into one super script to generate very precise buy and sell signals in almost any market condition.
-Buy arrows (blue) and sell arrows (red) can be changed or hidden for ease of viewing.
-No lag EMA trendline featuring trend-reversal color-coding (white uptrend, black downtrend).
-Adjustable ‘calibration’ setting allows users to customize the script to work for any currency or security available through TradingView, on any exchange, simply by adjusting a number.
-Complete with backtesting strategy version of script which allows users to test various buy and sell strategies based on the alerts the script generates (see info and screenshots below).
-Backtesting strategy incorporates a user-defined adjustable date range, so users can estimate the script’s performance over specific periods of time, such as the last day, week, or month.
-Backtesting strategy utilizes a minimum protective gain setting to help you never sell for a loss. Simply adjust your minimum profit (%) per trade, and the test results will update.
-Backtesting strategy allows for pyramid buying to test various average down / double up buying strategies. Simply adjust the number of pyramid buys and the quantity of each buy.
- Free 7-day trial available for TradingView users who join our free BitcoinNinjas community.
-Free 24/7 support via BitcoinNinjas Telegram GunBot support group with script purchase.
-Fully compatible with GunBot automatic trading software (TradingView plugin is required).
-Special discount available for traders who purchase GunBot automatic trading software and the GunBot TradingView plugin from BitcoinNinjas, allowing for fully automatic trading.
-Contact us via Email or Telegram for more information, to request additional / custom screenshots, or to start your free trial.
DISCLAIMER: By using our BitcoinNinjas ‘Ninja Signals’ planning script, you agree to the BitcoinNinjas 'Terms of Use', as presented on our website (www.BitcoinNinjas.org) and as stated here. No sharing, copying, reselling, modifying, or any other forms of use are authorized for our documents, script / strategy, and the information published with them. This informational planning script / strategy is strictly for individual use and educational purposes only. This is not financial or investment advice. Investments are always made at your own risk and are based on your personal judgement. Bitcoin Ninjas is not responsible for any losses you may incur. Please invest wisely.
Heikin Ashi Margin Scalping script for BitmexA script made for a lot of trades (scalping) and good solid profits on the Tested and it generates very attractive profits. Test it for yourself.
- Made for BITCOIN / US DOLLAR PERPETUAL INVERSE SWAP CONTRACT XBTUSD on Bitmex.
- Only 40% of these trades are profitable, but within this 40 percent, it catches all the spikes and lows. And therefore a lot more profit then loss. The most loss is generated at the moment BTC is falling still and there is not a lot of volatility.
- I use it to create alerts and sent these to my bot, so i don't have to do manual trading.
You can ask for access and try this strategy for yourself for 5 days. When you are convinced and want to have the script with alerts to be shared with you, I ask for a small donation of 0.02 BTC. This allows me to create other scripts and to improve this script.
I only sell this script to 50 people, so that it remains exclusive.
Has Indıcator Has indicator uses heiken ashi and macd (macd is custom)
works almost any cryptocurrency
1- 1min chart recommended
2- Use only USD pairs
3-Each trade is 10,000 USD
4-Comission is 0.13
Combined Strategy By CadotraderSCStrategy for the Iota / usd medium / long term. Use in 4h. For better results I recommend the following: Enter the capital that you will use in this strategy and limit to working only with that capital always, keeping a stop short, because no script is 100% profitable. As it is a medium / long term strategy he will not enter the bottom or the top, he of the entrance confirming the medium / long term trend. It is good that you keep in mind a satisfactory profit margin and when you hit that profit margin you can close the transaction and wait for the next signal to reenter the operation, further reducing the risk. Good profits.
Estratégia para o par Iota/usd de médio/longo prazo. Utilizar em 4h. Para melhor obtenção de resultados recomendo o seguinte: Insira o capital que você irá utilizar nessa estratégia e limite a trabalhar apenas com esse capital sempre, mantendo um stop curto, pois nenhum script é 100% rentável. Como é uma estratégia de médio/longo prazo ele não vai dar entrada no fundo ou no topo, ele da entrada confirmando a tendência de médio/longo prazo. É bacana você ter em mente uma margem de lucro satisfatória e quando bater essa margem de lucro você pode fechar a operação e aguardar o próximo sinal para entrar novamente na operação diminuindo ainda mais os riscos. Bons lucros.
CryptoMatt MT GainTrading StratThis project is focusing on the percent of profitability. Being consistently profitable is much easier on the mind when using a service to trade for you. Gains are still solid, but will continue this project to keep tweaking to be consistently profitable.
BitcoinNinjas Ninja Signals Buy Sell Alert Trading Strategy v2.0Bitcoin Ninjas 'Ninja Signals' Buy/Sell Alerts & Backtesting TradingView Script v2.0
(for Cryptocurrencies, Forex, GunBot, ProfitTrailer, automatic trading software, and more)
'Ninja Signals' v2.0 (SCRIPT)
'Ninja Signals' v2.0 (STRATEGY)
'Ninja Signals' v1.0 (SCRIPT)
'Ninja Signals' v1.0 (STRATEGY)
-Allows users to easily set automated buy and sell alerts on TradingView for use with automatic and manual trading of cryptocurrencies, Forex securities, and more (alerts are compatible with automatic trading software such as GunBot, ProfitTrailer, and more).
-Synthesizes many powerful indicators [e.g. Relative Strength Index (RSI), stochastic RSI, Money Flow Index (MFI), Moving Average Convergence Divergence (MACD), etc.) into one super script to generate very precise buy and sell signals in almost any market condition.
-Buy arrows (blue) and sell arrows (red) can be changed or hidden for ease of viewing.
-No lag EMA trendline featuring trend-reversal color-coding (white uptrend, black downtrend).
-Adjustable ‘calibration’ setting allows users to customize the script to work for any currency or security available through TradingView, on any exchange, simply by adjusting a number.
-Complete with backtesting strategy version of script which allows users to test various buy and sell strategies based on the alerts the script generates (see info and screenshots below).
-Backtesting strategy incorporates a user-defined adjustable date range, so users can estimate the script’s performance over specific periods of time, such as the last day, week, or month.
-Backtesting strategy utilizes a minimum protective gain setting to help you never sell for a loss. Simply adjust your minimum profit (%) per trade, and the test results will update.
-Backtesting strategy allows for pyramid buying to test various average down / double up buying strategies. Simply adjust the number of pyramid buys and the quantity of each buy.
- Free 7-day trial available for TradingView users who join our free BitcoinNinjas community.
-Free 24/7 support via BitcoinNinjas Telegram GunBot support group with script purchase.
-Fully compatible with GunBot automatic trading software (TradingView plugin is required).
-Special discount available for traders who purchase GunBot automatic trading software and the GunBot TradingView plugin from BitcoinNinjas, allowing for fully automatic trading.
-Contact us via Email or Telegram for more information, to request additional / custom screenshots, or to start your free trial.
DISCLAIMER: By using this BitcoinNinjas document or ‘Ninja Signals’ planning script, you agree to the BitcoinNinjas 'Terms of Use', as presented on our website (www.BitcoinNinjas.org) and as stated here. No sharing, copying, reselling, modifying, or any other forms of use are authorized for our documents, script / strategy, and the information published with them. This informational document and planning script / strategy is strictly for individual use and educational purposes only. This is not financial or investment advice. Investments are always made at your own risk and are based on your personal judgement. BitcoinNinjas is not responsible for any losses you may incur. Please invest wisely.
Bitcoin Ninjas 'Ninja Signals' Buy & Sell Alert Trading StrategyBitcoin Ninjas 'Ninja Signals' Buy/Sell Alerts & Backtesting TradingView Script
(for Cryptocurrencies, Forex, GunBot, ProfitTrailer, automatic trading software, and more)
Main Script:
-Allows users to easily set automated buy and sell alerts on TradingView for use with automatic and manual trading of cryptocurrencies, Forex securities, and more (alerts are compatible with automatic trading software such as GunBot, ProfitTrailer, and more).
-Synthesizes many powerful indicators [e.g. Relative Strength Index (RSI), stochastic RSI, Money Flow Index (MFI), Moving Average Convergence Divergence (MACD), etc.) into one super script to generate very precise buy and sell signals in almost any market condition.
-Buy arrows (blue) and sell arrows (red) can be changed or hidden for ease of viewing.
-No lag EMA trendline featuring trend-reversal color-coding (white uptrend, black downtrend).
-Adjustable ‘calibration’ setting allows users to customize the script to work for any currency or security available through TradingView, on any exchange, simply by adjusting a number.
-Complete with backtesting strategy version of script which allows users to test various buy and sell strategies based on the alerts the script generates (see info and screenshots below).
-Backtesting strategy incorporates a user-defined adjustable date range, so users can estimate the script’s performance over specific periods of time, such as the last day, week, or month.
-Backtesting strategy utilizes a minimum protective gain setting to help you never sell for a loss. Simply adjust your minimum profit (%) per trade, and the test results will update.
-Backtesting strategy allows for pyramid buying to test various average down / double up buying strategies. Simply adjust the number of pyramid buys and the quantity of each buy.
-Free 7-day trial available for TradingView users who join our free BitcoinNinjas community.
-Free 24/7 support via BitcoinNinjas Telegram GunBot support group with script purchase.
-Fully compatible with GunBot automatic trading software (TradingView plugin is required).
-Special discount available for traders who purchase GunBot automatic trading software and the GunBot TradingView plugin from BitcoinNinjas, allowing for fully automatic trading.
-Contact us via Email or Telegram for more information, to request additional / custom screenshots, or to start your free trial.
Screenshot (Script)
Screenshot (Backtesting Strategy)
Screenshot (Adjustable Calibration, Minimum Profit Per Trade, & Date Range)
Screenshot (Optional Pyramid / Average Down Buying)
Screenshot (Customizable Buy/Sell Arrows & Trend Reversal Line)
DISCLAIMER: By viewing and/or using this TradingView script, you agree to the BitcoinNinjas 'Terms of Use', as presented on our website ( BitcoinNinjas.org ) and as stated here. No sharing, copying, reselling, modifying, or any other forms of use, are authorized for this document. This document is strictly for individual use and informational purposes only. This is not financial or investment advice. Investments are always made at your own risk, and are based on yo
[NG] Strategy: CryptoMine - v1 - Low Drawdown - Beats Buy&Hold!So, I created this strategy that works on BTCUSD 0.28% pair along with almost all ALT-BTC pairs, and ALT-USD pairs (i.e. the cryptosphere). Here are some of the considerations I had when creating this script:
- Should work on BTCUSD 0.28% , along with most ALT-BTC and ALT-USD pairs without modifying strategy parameters for individual pairs.
- Should work with several timeframes, esp -0.67% . 15m-4hr timeframes. Better if the parameters are adjusted for these timeframes, automatically.
- Should have a small MaxDrawdown. Arguably <50% for cryptos.
- Should beat buy and hold profits for the pair.
- Should have multiple modes for switching between: Higher Returns vs Lower Drawdowns, multiple Long/Short versions - one which allows me to do margin trading by using the short calls (so, LONG, SHORT and FLAT), and another one where I can use the short calls by exiting out of the market and entering when the short call ends (so, LONG and SHORT only).
- Should have proper risk management built-in. Moreover, TakeProfit and StopLoss will be defined at a fixed 20% each, which is reasonable for crypto markets. Most strategies I see on tradingview fail on this count.
After several weeks of building such a script, and testing it successfully on multiple pairs - here are the results. :)
ETHBTC
=======================================================================================
Mode 1 (LONG and SHORT only)
--------------------------------------
First Trade: 2015-08-10 09:30, Final Profit: 1474649.65%, Drawdown: 66.21%, PF: 2.149, Trades: 1059
--------------------------------------
Mode 2 (LONG, SHORT and FLAT positions)
First Trade: 2015-08-14 05:30, Final Profit: 715274.55%, Drawdown: 36.34%, PF: 2.806, Trades: 589
BTCUSD 0.28%
=======================================================================================
Mode 1 (LONG and SHORT only)
--------------------------------------
First Trade: 2015-01-03 21:30, Final Profit: 28944.04%, Drawdown: 44.87%, PF: 1.353, Trades: 1222
--------------------------------------
Mode 2 (LONG, SHORT and FLAT positions)
First Trade: 2015-01-11 13:30, Final Profit: 22522.28%, Drawdown: 27.77%, PF: 1.877, Trades: 669
NANOBNB
=======================================================================================
Mode 1 (LONG and SHORT only)
--------------------------------------
First Trade: 2018-02-04 23:30, Final Profit: 365.5%, Drawdown: 39.4%, PF: 1.967, Trades: 51
--------------------------------------
Mode 2 (LONG, SHORT and FLAT positions)
First Trade: 2015-01-11 13:30, Final Profit: 236.91%, Drawdown: 25.62%, PF: 3.692, Trades: 25
NOTE: I will not be sharing access to this script, since market saturation is a real thing. Send me an email at menikhguptacom - if you are really interested in this script.
D Money – EMA/TEMA Touch Strategy (Distance) What it’s trying to capture
You want mean-reversion “tags” back to a moving average after price has stretched away and momentum flips:
Bearish setup (short): price has been above EMA(9) for a few bars, then MACD turns bearish, and price is far enough above the EMA (by an adaptive threshold). Exit when price tags the EMA.
Bullish setup (long): price has been below your chosen TEMA rail (actually an EMA of 50/100/200 you pick) for a few bars, then MACD turns bullish, and price is far enough below that TEMA. Exit when price tags that TEMA.
The moving averages it uses
EMA(9) — your fast “tag” for short take-profits.
“TEMA line” input = one of EMA(50) / EMA(100) / EMA(200). (Labelled “Chosen TEMA” in the plot; it’s an EMA rail you pick.)
When it will enter trades
It requires four things per side:
Short (EMA-Touch Short)
MACD bearish cross on the signal bar
If “Require NO MA touch on cross bar” = true, the bar’s low must be above EMA(9), so it didn’t touch EMA on the cross bar (fake-out guard).
Extension/Context: you’ve had at least barsAbove consecutive closes above EMA(9) (default 3), so it’s truly stretched.
Distance test: absolute % distance from price to EMA(9) must be ≥ minDistEMA_eff (an adaptive threshold; details below).
Bounce filter: there was no bullish bounce off the EMA in the last bounceLookback bars (excluding the current one).
If all pass and you’re inside the backtest window → strategy.entry short.
Long (TEMA-Touch Long)
MACD bullish cross on the signal bar
With the same fake-out guard: the bar’s high must be below the chosen TEMA if the guard is on.
Extension/Context: at least barsAbove consecutive closes below the chosen TEMA.
Distance test: absolute % distance from price to TEMA must be ≥ minDistTEMA_eff (adaptive).
Bounce filter: there was no bearish bounce off the TEMA in the last bounceLookback bars.
If all pass and you’re in the window → strategy.entry long.
MACD timing option:
If Pure MACD Timing = ON, it only checks for the cross.
If OFF (default), it also enforces “no touch on the cross bar” if that checkbox is true. That’s your “fake-out” filter.
The adaptive distance threshold (the “secret sauce”)
You can choose how “far enough away” is determined—per side:
Fixed %
Short uses Fixed: Min distance ABOVE EMA (%)
Long uses Fixed: Min distance BELOW TEMA (%)
Auto (ATR%) (default)
Short threshold = max(floorEMA, kAtrShort × ATR%)
Long threshold = max(floorTEMA, kAtrLong × ATR%)
This scales distance by recent volatility, with a floor.
Auto (AvgDist%)
Short threshold = max(floorEMA, kAvgShort × average(|Dist to EMA|) over avgLen)
Long threshold = max(floorTEMA, kAvgLong × average(|Dist to TEMA|) over avgLen)
This adapts to the instrument’s typical stretch away from the rails.
These become minDistEMA_eff and minDistTEMA_eff and are re-computed each bar.
Fake-out / bounce logic (the “don’t get tricked” part)
A touch means the bar’s high/low overlapped the MA ± a small buffer % (touchBufPct).
A bounce is a touch plus a close on the “wrong” side (e.g., touch EMA and close above it on shorts = bullish bounce).
The script blocks entries if a bounce happened within bounceLookback bars (excluding the current signal bar).
Exits & risk
Take profit: when price touches the target MA:
Short TP = touch EMA(9)
Long TP = touch chosen TEMA
Stop loss: either
ATR stop: entry ± (atrMultStop × ATR) (default ON), or
Percent stop: entry × (1±stopPct%)
Time stop: if timeExitBars > 0, close after that many bars if still open.
Quality-of-life features
Backtest window (btFrom, btTo) so you can limit evaluation.
Labels on signal bars that show:
MACD bucket (Small/Moderate/HUGE/Violent — based on % separation on the bar),
the current absolute distance to the target MA,
and the effective minimum the engine used (plus which engine mode).
Data Window fields so you can audit:
abs distance to EMA/TEMA,
the effective min distance used on each side,
ATR%,
average absolute distances (for the AvgDist mode).
Alerts fire when a short/long signal is confirmed.
Optional debug panel to see the exact booleans & thresholds the bar had.
Quick mental model
Are we properly stretched away from the rail (by an adaptive threshold) and held on that side for a few bars?
Did MACD flip the way we want without price already tagging the rail that bar?
Have we avoided recent bounces off that rail (no fake-out)?
→ If yes, enter and aim for a tag back to the rail, with ATR/% stop and optional time stop.
If you want, I can add a simple on-chart “rating” (0–100) similar to your Python scorer (distance beyond min, MACD bucket, extension streak) so you can visually rank signals in TradingView too.
KCandle Strategy 1.0# KCandle Strategy 1.0 - Trading Strategy Description
## Overview
The **KCandle Strategy** is an advanced Pine Script trading system based on bullish and bearish engulfing candlestick patterns, enhanced with sophisticated risk management and position optimization features.
## Core Logic
### Entry Signal Generation
- **Pattern Recognition**: Detects bullish and bearish engulfing candlestick formations
- **EMA Filter**: Uses a customizable EMA (default 25) to filter trades in the direction of the trend
- **Entry Levels**:
- **Long entries** at 25% of the candlestick range from the low
- **Short entries** at 75% of the candlestick range from the low
- **Signal Validation**: Orange candlesticks indicate valid setup conditions
### Risk Management System
#### 1. **Stop Loss & Take Profit**
- Configurable stop loss in pips
- Risk-reward ratio setting (default 2:1)
- Visual representation with colored lines and labels
#### 2. **Break-Even Management**
- Automatically moves stop loss to break-even when specified R:R is reached
- Customizable break-even offset for added protection
- Prevents losing trades after reaching profitability
#### 3. **Trailing Stop System**
- **Activation Trigger**: Activates when position reaches specified R:R level
- **Distance Control**: Maintains trailing stop at defined distance from entry
- **Step Management**: Moves stop loss forward in incremental R steps
- **Dynamic Protection**: Locks in profits while allowing for continued upside
### Advanced Features
#### Position Management
- **Pyramiding Support**: Optional multiple position entries with size reduction
- **Order Expiration**: Pending orders automatically cancel after specified bars
- **Position Sizing**: Percentage-based allocation with pyramid level adjustments
#### Visual Interface
- **Real-time Monitoring**: Comprehensive information panel with all strategy metrics
- **Historical Tracking**: Visual representation of past trades and levels
- **Color-coded Indicators**: Different colors for break-even, trailing, and standard stops
- **Debug Options**: Optional labels for troubleshooting and optimization
## Key Parameters
### Basic Settings
- **EMA Length**: Trend filter period
- **Stop Loss**: Risk per trade in pips
- **Risk/Reward**: Target profit ratio
- **Order Validity**: Duration of pending orders
### Risk Management
- **Break-Even R:R**: Profit level to trigger break-even
- **Trailing Activation**: R:R level to start trailing
- **Trailing Distance**: Stop distance from entry when trailing
- **Trailing Step**: Increment for stop loss advancement
## Strategy Benefits
1. **Objective Entry Signals**: Based on proven candlestick patterns
2. **Trend Alignment**: EMA filter ensures trades align with market direction
3. **Robust Risk Control**: Multiple layers of protection (SL, BE, Trailing)
4. **Profit Optimization**: Trailing stops maximize winning trade potential
5. **Flexibility**: Extensive customization options for different market conditions
6. **Visual Clarity**: Complete visual feedback for trade management
## Ideal Use Cases
- **Swing Trading**: Medium-term positions with trend-following approach
- **Breakout Trading**: Capturing momentum from engulfing patterns
- **Risk-Conscious Trading**: Suitable for traders prioritizing capital preservation
- **Multi-Timeframe**: Adaptable to various timeframes and instruments
---
*The KCandle Strategy combines traditional technical analysis with modern risk management techniques, providing traders with a comprehensive tool for systematic market participation.*
My Backtest Module### 📊 Universal Backtest Module - Pro Structure
**A Fully Customizable Strategy Framework for Advanced Backtesting & Signal Analysis**
This powerful Pine Script strategy is designed as a **universal testing module** for traders and developers who want to evaluate custom trading logic across multiple conditions, timeframes, and risk parameters — all within a single, flexible structure.
> ⚠️ **Note:** This script is intended for **educational and backtesting purposes only**. It does **not** provide financial advice, nor does it guarantee profits. Always test strategies thoroughly before applying them to live markets.
---
### 🔧 Key Features
✅ **Multi-Source Entry Signals**
Combine up to two independent buy/sell signals using flexible logic:
- **OR Logic**: Trigger on any signal (edge-based).
- **AND Logic (Latched)**: Requires both signals at any point (flip-flop style).
- **AND No Latch**: Both signals must be active simultaneously.
✅ **Dynamic Trade Direction Control**
Choose between:
- Long & Short (Both)
- Long Only
- Short Only
With optional **close-on-opposite-signal** and **wait-for-opposite-reentry** logic.
✅ **Precision Timing Filters**
- Date range filtering (start/end dates)
- Intraday session control (supports up to 3 custom sessions)
- Visual session shading for clarity
✅ **Advanced Risk Management**
- Multiple Stop Loss types:
- Fixed Points / Percent
- ATR-based (adjustable multiplier)
- Swing-based (automatically detects pivots)
- External SL source
- Dynamic position sizing:
- Fixed lot
- % of equity risk (with max fallback)
✅ **Smart Take Profit Options**
- Fixed Points, Percent, RR Ratio, ATR, Fibonacci extensions
- Support for **external TP levels** (user-defined sources)
- Optional **multiple partial exits** with customizable size distribution
- Fibonacci TP levels (1.0, 1.618, 2.618, 4.236) based on SL distance
✅ **Flexible Exit Tools**
- Breakeven stop activation after TP1 hit
- Internal swing-based trailing stop
- External trailing stop (custom source)
- Max holding time (auto-close after X candles)
- Custom close conditions via user-defined logic
- Close & reverse functionality
✅ **Visual Clarity & Feedback**
- Clear visual markers for Buy/Sell signals
- Real-time SL, Entry, and TP lines with color-coded risk/reward zones
- On-chart TP level labels showing prices and allocation percentages
- Session background highlighting
- Trade statistics summary label
---
### 🛠️ Ideal For:
- Testing new indicator combinations
- Validating entry/exit logic under various market filters
- Comparing signal fusion methods (OR vs AND)
- Simulating professional-grade risk management rules
- Educational demonstrations in algorithmic trading
---
### ⚠️ Important Notes
- This is a **backtesting tool**, not a live trading bot.
- Past performance is **not indicative of future results**.
- Strategy performance depends entirely on the quality of input signals.
- Always validate results across multiple assets and timeframes.
- Use in conjunction with sound money management principles.
---
### 📌 How to Use
1. Attach the script to your chart.
2. Configure **Buy/Sell Signal Sources** (e.g., RSI crossovers, moving averages, etc.)
3. Set your preferred **trade direction, session, and date filters**
4. Define **stop loss and take profit rules**
5. Adjust position sizing and exit behavior
6. Run the backtest and analyze results in the **Strategy Tester tab**
💡 *Tip: Combine with other indicators by referencing their output values as signal sources.*
---
### ❌ Disclaimer
This script is shared for **informational and educational purposes only**. By using it, you agree that:
- The author is **not responsible** for any financial losses.
- Trading involves significant risk; only risk capital should be used.
- You are solely responsible for your trading decisions.
🚫 **This script does not promote get-rich-quick schemes, guaranteed profits, or unverified performance claims.**
---
🔁 **Version:** 5 (Pine Script v5)
📦 **Category:** Strategy
📈 **Overlay:** Yes
🧪 **Purpose:** Backtesting, Signal Validation, Risk Modeling
---
✅ **Safe for Public Sharing**
✔ Complies with TradingView’s community standards
✔ No misleading performance claims
✔ No automated trading promises
✔ No copyrighted or plagiarized content
---
> 💬 *"Knowledge is power — test wisely, trade responsibly."*
---
Let me know if you'd like a **short version** for the script's header comment or a **public post summary** for the TradingView feed!
NIFTY_2min_FVG_Buy_StrategySummary
This strategy is designed for scalping Nifty on a 2-minute chart, focusing exclusively on long entries. The script's purpose is to identify and act on specific bullish reversal patterns based on volume analysis and price action.
Concept & Core Logic
The strategy operates on a two-stage confirmation process:
Volume Absorption: The initial condition seeks to identify potential bullish reversals by detecting signs of selling pressure being absorbed by buyers. This suggests that a downward move may be losing momentum.
Fair Value Gap (FVG) Confirmation: After a volume absorption signal, the strategy waits for a Fair Value Gap (FVG) to appear. A long entry signal is generated only after a candle closes above the FVG zone, serving as confirmation of bullish intent.
Risk Management
The strategy employs a fixed take profit and stop loss for each trade, based on the Nifty underlying price:
Take Profit: The exit signal is triggered when a trade reaches a 25-point profit.
Stop Loss: The exit signal is triggered when a trade reaches a 30-point loss.
Intended Use
This tool is intended for traders who:
Utilize mechanical, rule-based systems for intraday trading and scalping.
Are interested in studying a structured approach that combines volume analysis with price action inefficiencies like Fair Value Gaps.
Quantura - Quantitative AlgorythmIntroduction
“Quantura – Quantitative Algorithm” is an invite-only Pine Script strategy designed for multi-timeframe analysis, combining technical filters with user-adjustable fundamental sentiment. It was primarily developed for cryptocurrency markets but can also be applied across other assets such as Forex, stocks, and indices. The goal is to generate structured trade signals through a confluence of techniques rather than relying on a single indicator.
Originality & Value
Quantura is not a simple mashup of indicators. Its originality comes from how multiple layers of analysis are integrated into a single decision framework . Instead of showing indicators separately, the strategy only issues trades when several conditions align simultaneously:
RSI entry triggers confirm overbought/oversold reversals.
Market structure on a higher timeframe confirms trend direction.
Order block detection highlights zones of concentrated supply and demand.
Premium/Discount zones identify potential over- and undervaluation.
HTF EMA provides trend confirmation.
Optional candlestick patterns strengthen reversal or continuation signals.
An optional correlation filter compares the main asset to a reference instrument.
This design forces agreement between different methodologies (momentum, structure, value, volume, sentiment), which reduces noise compared to using them in isolation.
Functionality & Indicators
Entry trigger: RSI exits from extreme zones.
Filters: Only valid when all selected filters (HTF structure, EMA, order blocks, premium/discount, candlesticks, correlation, volume) confirm the direction.
Fundamental bias: User-defined sentiment and analysis settings (bullish, bearish, neutral) influence whether long or short trades are permitted.
Exits: ATR-based take profit and stop loss, with optional breakeven, opposite-signal exit, and session-end exit.
Visualization: Buy/Sell markers, trend-colored candles, and an optional dashboard summarizing indicator status.
Parameters & Customization
Timeframes: Independent HTF and LTF selection.
Trading direction: Long / Short / Both.
Session and weekday filters.
RSI length and thresholds.
Filters: HTF structure, order blocks, premium/discount, EMA, candlestick, ATR volatility, volume zones, correlation.
Exit rules: ATR multipliers for TP/SL, breakeven logic, session-end exit, opposite-signal exit.
Visuals: Toggle signals, candles, dashboard, custom colors.
Default Properties (Strategy Settings)
Initial Capital: 200,000 USD
Position Size: 1 BTC
Commission: 0.25%
Slippage: enabled (1 tick)
Pyramiding: 0 (one position at a time)
Note: The position sizing of 1 BTC per trade is intentionally set for backtesting demonstration. Most traders prefer to risk 1-5% of equity.
Backtesting & Performance
Backtests on BTCUSD (2 years) with the above defaults showed:
103 trades
Win rate: 42%
Profit factor: 1.3
Maximum drawdown: 10%
These results illustrate how the confluence model behaves, but they are not predictive of future performance . Users should re-test with their own preferred symbols, settings, and timeframes.
Risk Management
ATR-based stops and targets scale with volatility.
Commission and slippage are included by default for realistic modeling.
Opposite-signal exit helps capture trend reversals.
Session-end exit can close intraday positions before illiquid hours.
Breakeven option protects profits when available.
Although the default allocation uses 1 BTC per trade for demonstration, this is not a recommendation. Users are encouraged to adjust risk sizing downwards to sustainable levels (commonly 1-5%).
Limitations & Market Conditions
Performs best in volatile, liquid markets (e.g., crypto).
May struggle in prolonged sideways markets with low volatility.
News events and fundamentals outside user inputs can override signals.
Usage Guide
Add “Quantura – Quantitative Algorithm” to your chart in strategy mode.
Select HTF and LTF timeframes, trading direction, and session filters.
Configure confluence filters (structure, EMA, order blocks, premium/discount, candlestick, correlation, volume).
Set sentiment and analysis bias in fundamental settings.
Adjust ATR multipliers and exits.
Review buy/sell signals and analyze performance in the Strategy Tester.
Author & Access
Developed 100% by Quantura . Distributed as an Invite-Only script . Access is granted upon request. Details are provided in the Author’s Instructions field.
Important: This description complies with TradingView’s Script Publishing Rules and House Rules. It does not guarantee profitability, avoids unrealistic claims, and explains how the strategy integrates multiple methods into a coherent decision framework.
3-Candle Reversal Pattern-vahid2star3-Candle Reversal Zones + Hammer Confirmation (with Risk Management & Alerts)
This script combines 3-candle reversal detection, hammer confirmations, and smart demand/supply zone plotting into a single tool designed for both discretionary and automated traders.
🔍 Core Logic
3-Candle Reversal Pattern
Candle-1: Strong move in one direction (big body).
Candle-2: Doji-like candle (high shadow/body ratio).
Candle-3: Reversal candle in the opposite direction (large body relative to Candle-2).
A gap after Candle-3 is required for extra confirmation.
Hammer Confirmation (Hammer-1 & Hammer-2)
After a valid 3-candle setup, the script searches for a hammer pattern near the zone.
Hammer-1: Draws a box directly on the hammer range if followed by a strong confirming candle.
Hammer-2: If another hammer forms after the confirmation candle and holds for N bars (configurable), a second hammer box is drawn.
Demand & Supply Zones
For bullish setups, a demand zone is created from the Candle-2 low to the Candle-1 low.
For bearish setups, a supply zone is created from the Candle-2 high to the Candle-1 high.
Zones extend to the right until price interacts with them.
🛠 Filters & Quality Controls
Trend filter (optional):
Only draw zones if price respects higher-timeframe EMA200 slope and LTF EMA alignment.
Market structure filter:
Require higher-high / higher-low (for bullish) or lower-high / lower-low (for bearish).
ATR filter:
Zones must have a minimum height relative to ATR.
Overlap control:
Avoid drawing zones that overlap too heavily with existing ones.
Cooldown:
Restrict consecutive zones of the same type within a user-defined bar distance.
🎯 Risk Management & Strategy
Dynamic position sizing:
Trade size is automatically calculated from account equity, risk %, and leverage.
Stop-loss & Take-profit:
SL placed just beyond the zone ± buffer ticks.
TP automatically set at user-defined Reward:Risk ratio (e.g., 3:1).
Capital protection:
Trades respect max leverage and risk per position settings.
⚡ Alerts
The script provides one-time alerts for each zone:
🔔 First Touch Alert → Triggered when price first touches a demand, supply, or hammer box.
Each zone only fires one alert, avoiding duplicates on re-touch or trade exit.
📊 Visuals
Demand zones: Green boxes.
Supply zones: Red boxes.
Hammer boxes: Blue (bullish) / Orange (bearish).
Used zones: Greyed out after price fills them.
Outcomes: Zones change to green if TP is hit, red if SL is hit.
Optional labels mark “Bullish zone ✓”, “Bearish zone ✓”, “Hammer-1 ✓”, or “Hammer-2 ✓” when confirmed.
🔧 Settings Overview
Core pattern ratios (C1/C2, C3/C2 size multipliers).
Doji definition (shadow/body ratio).
Hammer search depth, confirmation delay, and strictness.
Risk % per trade, leverage cap, stop buffer, RR ratio.
Visual styling (colors, max box count, labels).
Trend, structure, ATR, overlap, and cooldown filters.
Option to disable orders (use as indicator + alerts only).
⚠️ Disclaimer
This script is a technical analysis tool intended for educational purposes.
It does not guarantee profits. Use proper risk management and test thoroughly before applying in live trading.
✨ With its combination of 3-candle reversals, hammer confirmations, and smart filtering, this script is designed to reduce noise, highlight high-probability zones, and give traders both visual structure and actionable alerts.
Signalgo Strategy ISignalgo Strategy I: Technical Overview
Signalgo Strategy I is a systematically engineered TradingView strategy script designed to automate, test, and manage trend-following trades using multi-timeframe price/volume logic, volatility-based targets, and multi-layered exit management. This summary covers its operational structure, user inputs, entry and exit methodology, unique technical features, and practical application.
Core Logic and Workflow
Multi-Timeframe Data Synthesis
User-Defined Timeframe: The user chooses a timeframe (e.g., 1H, 4H, 1D, etc.), on which all strategy signals are based.
Cross-Timeframe Inputs: The strategy imports closing price, volume, and Average True Range (ATR) for the selected interval, independently from the chart’s native timeframe, enabling robust multi-timeframe analysis.
Price Change & Volume Ratio: It calculates the percent change of price per bar and computes a volume ratio by comparing current volume to its 20-bar moving average—enabling detection of true “event” moves vs. normal market noise.
Hype Filtering
Anti-Hype Mechanism: An entry is automatically filtered out if abnormal high volume occurs without corresponding price movement, commonly observed during manipulation or announcement periods. This helps isolate genuine market-driven momentum.
User Inputs
Select Timeframe: Choose which interval drives signal generation.
Backtest Start Date: Specify from which date historical signals are included in the strategy (for precise backtests).
Take-Profit/Stop-Loss Configuration: Internally, risk levels are set as multiples of ATR and allow for three discrete profit targets.
Entry Logic
Trade Signal Criteria:
Price change magnitude in the current bar must exceed a fixed sensitivity threshold.
Volume for the bar must be significantly elevated compared to average, indicating meaningful participation.
Anti-hype check must not be triggered.
Bullish/Bearish Determination: If all conditions are met and price change direction is positive, a long signal triggers. If negative, a short signal triggers.
Signal Debouncing: Ensures a signal triggers only when a new condition emerges, avoiding duplicate entries on flat or choppy bars.
State Management: The script tracks whether an active long or short is open to avoid overlapping entries and to facilitate clean reversals.
Exit Strategy
Take-Profits: Three distinct profit targets (TP1, TP2, TP3) are calculated as fixed multiples of the ATR-based stop loss, adapting dynamically to volatility.
Reversals: If a buy signal appears while a short is open (or vice versa), the existing trade is closed and reversed in a single step.
Time-Based Exit: If, 49 bars after entry, the trade is in-profit but hasn’t reached TP1, it exits to avoid stagnation risk.
Adverse Move Exit: The position is force-closed if it suffers a 10% reversal from entry, acting as a catastrophic stop.
Visual Feedback: Each TP/SL/exit is plotted as a clear, color-coded line on the chart; no hidden logic is used.
Alerts: Built-in TradingView alert conditions allow automated notification for both entries and strategic exits.
Distinguishing Features vs. Traditional MA Strategies
Event-Based, Not Just Slope-Based: While classic moving average strategies enter trades on MA crossovers or slope changes, Signalgo Strategy I demands high-magnitude price and volume confirmation on the chosen timeframe.
Volume Filtering: Very few MA strategies independently filter for meaningful volume spikes.
Real Market Event Focus: The anti-hype filter differentiates organic market trends from manipulated “high-volume, no-move” sessions.
Three-Layer Exit Logic: Instead of a single trailing stop or fixed RR, this script manages three profit targets, time-based closures, and hard adverse thresholds.
Multi-Timeframe, Not Chart-Dependent: The “main” analytical interval can be set independently from the current chart, allowing for in-depth cross-timeframe backtests and system runs.
Reversal Handling: Automatic handling of signal reversals closes and flips positions precisely, reducing slippage and manual error.
Persistent State Tracking: Maintains variables tracking entry price, trade status, and target/stop levels independently of chart context.
Trading Application
Strategy Sandbox: Designed for robust backtesting, allowing users to simulate performance across historical data for any major asset or interval.
Active Risk Management: Trades are consistently managed for both fixed interval “stall” and significant loss, not just via trailing stops or fixed-day closes.
Alert Driven: Can power algorithmic trading bots or notify discretionary traders the moment a qualifying market event occurs.
MACD StrategyOverview
The "MACD Strategy" is a straightforward trading strategy tested for BTCUSDT Futures on the 1-minute timeframe, leveraging the Moving Average Convergence Divergence (MACD) indicator to identify momentum-based buy and sell opportunities. Developed with input from expert trading analyst insights, this strategy combines technical precision with risk management, making it suitable for traders of all levels on platforms like TradingView. It focuses on capturing trend reversals and momentum shifts, with clear visual cues and automated alerts for seamless integration with trading bots (e.g., Bitget webhooks).
#### How It Works
This strategy uses the MACD indicator to generate trading signals based on momentum and trend direction:
- **Buy Signal**: Triggered when the MACD line crosses above the signal line, and the MACD histogram turns positive (above zero). This suggests increasing bullish momentum.
- **Sell Signal**: Triggered when the MACD line crosses below the signal line, and the MACD histogram turns negative (below zero), indicating growing bearish momentum.
Once a signal is detected, the strategy opens a position (long for buy, short for sell) with a position size calculated based on your risk tolerance. It includes a stop-loss to limit losses and a take-profit to lock in gains, both dynamically adjusted using the Average True Range (ATR) for adaptability to market volatility.
#### Key Features
- **MACD-Based Signals**: Relies solely on MACD for entry points, plotted in a separate pane for clear momentum analysis.
- **Risk Management**: Automatically calculates position size based on a percentage of your account balance and sets stop-loss and take-profit levels using ATR multipliers and a risk:reward ratio.
- **Visual Feedback**: Plots entry, stop-loss, and take-profit lines on the chart with labeled markers for easy tracking.
- **Alerts**: Includes Bitget webhook-compatible alerts for automated trading, notifying you of buy and sell signals in real-time.
#### Input Parameters
- **Account Balance**: Default 10000 – Set your initial trading capital to determine position sizing.
- **MACD Fast Length**: Default 12 – The short-term EMA period for MACD sensitivity.
- **MACD Slow Length**: Default 26 – The long-term EMA period for MACD calculation.
- **MACD Signal Length**: Default 9 – The smoothing period for the signal line.
- **Risk Per Trade (%)**: Default 3.0 – The percentage of your account balance risked per trade (e.g., 3% of 10000 = 300).
- **Risk:Reward Ratio**: Default 3.0 – The ratio of potential profit to risk (e.g., 3:1 means risking 1 to gain 3).
- **SL Multiplier**: Default 1.0 – Multiplies ATR to set the stop-loss distance (e.g., 1.0 x ATR).
- **TP Multiplier**: Default 3.0 – Multiplies ATR to set the take-profit distance, adjusted by the risk:reward ratio.
- **Line Length (bars)**: Default 25 – Duration in bars for displaying trade lines on the chart.
- **Label Position**: Default 'left' – Position of text labels (left or right) relative to trade lines.
- **ATR Period**: Default 14 – The number of periods for calculating ATR to measure volatility.
#### How to Use
1. **Add to Chart**: Load the "MACD Strategy" as a strategy and the "MACD Indicator" as a separate indicator on your TradingView chart (recommended for BTCUSDT Futures on the 1-minute timeframe).
2. **Customize Settings**: Adjust the input parameters based on your risk tolerance and market conditions. For BTCUSDT Futures, consider reducing `Risk Per Trade (%)` during high volatility (e.g., 1%) or increasing `SL Multiplier` for wider stops.
3. **Visual Analysis**: Watch the main chart for trade entry lines (green for buy, red for sell), stop-loss (red), and take-profit (green) lines with labels. Use the MACD pane below to confirm momentum shifts.
4. **Set Alerts**: Create alerts in TradingView for "Buy Signal" and "Sell Signal" to automate trades via Bitget webhooks.
5. **Backtest and Optimize**: Test the strategy on historical BTCUSDT Futures 1-minute data to fine-tune parameters. The short timeframe requires quick execution, so monitor closely for slippage or latency.
#### Tips for Success
- **Market Conditions**: This strategy performs best in trending markets on the 1-minute timeframe. Avoid choppy conditions where MACD crossovers may produce false signals.
- **Risk Management**: Start with the default 3% risk per trade and adjust downward (e.g., 1%) during volatile periods like BTCUSDT news events. The 3:1 risk:reward ratio targets consistent profitability.
- **Timeframe**: Optimized for 1-minute charts; switch to 5-minute or 15-minute for less noise if needed.
- **Confirmation**: Cross-check MACD signals with price action or support/resistance levels for higher accuracy on BTCUSDT Futures.
#### Limitations
- This strategy relies solely on MACD, so it may lag in fast-moving or sideways markets. Consider adding a secondary filter (e.g., RSI) if needed.
- Stop-loss and take-profit are ATR-based and may need adjustment for BTCUSDT Futures’ high volatility, especially during leverage trading.
#### Conclusion
The "MACD Strategy" offers a simple yet effective way to trade momentum shifts using the MACD indicator, tested for BTCUSDT Futures on the 1-minute timeframe, with robust risk management and visual tools. Whether you’re scalping crypto futures or exploring short-term trends, this strategy provides a solid foundation for automated or manual trading. Share your feedback or customizations in the comments, and happy trading!
Script_Algo - ORB Strategy with Filters🔍 Core Concept: This strategy combines three powerful technical analysis tools: Range Breakout, the SuperTrend indicator, and a volume filter. Additionally, it features precise customization of the number of candles used to construct the breakout range, enabling optimized performance for specific assets.
🎯 How It Works:
The strategy defines a trading range at the beginning of the trading session based on a selected number of candles.
It waits for a breakout above the upper or below the lower boundary of this range, requiring a candle close.
It filters signals using the SuperTrend indicator for trend confirmation.
It utilizes trading volume to filter out false breakouts.
⚡ Strategy Features
📈 Entry Points:
Long: Candle close above the upper range boundary + SuperTrend confirmation
Short: Candle close below the lower range boundary + SuperTrend confirmation
🛡️ Risk Management:
Stop-Loss: Set at the opposite range boundary.
Take-Profit: Calculated based on a risk/reward ratio (3:1 by default).
Position Size: 10 contracts (configurable).
⚠️ IMPORTANT SETTINGS
🕐 Time Parameters:
Set the correct time and time zone!
❕ATTENTION: The strategy works ONLY with correct time settings! Set the time corresponding to your location and trading session.
📊 This strategy is optimized for trading TESLA stock!
Parameters are tailored to TESLA's volatility, and trading volumes are adequate for signal filtering. Trading time corresponds to the American session.
📈 If you look at the backtesting results, you can see that the strategy could potentially have generated about 70 percent profit on Tesla stock over six months on 5m timeframe. However, this does not guarantee that results will be repeated in the future; remain vigilant.
⚠️ For other assets, the following is required:
Testing and parameter optimization
Adjustment of time intervals and the number of candles forming the range
Calibration of stop-loss and take-profit levels
⚠️ Limitations and Drawbacks
🔗 Automation Constraints:
❌ Cannot be directly connected via Webhook to CFD brokers!
Additional IT solutions are required for automation, thus only manual trading based on signals is possible.
📉 Risk Management:
Do not risk more than 2-3% of your account per trade.
Test on historical data before live use.
Start with a demo account.
💪 Strategy Advantages
✅ Combined approach – multiple signal filters
✅ Clear entry and exit rules
✅ Visual signals on the chart
✅ Volume-based false breakout filtering
✅ Automatic position management
🎯 Usage Recommendations
Always test the strategy on historical data.
Start with small trading volumes.
Ensure time settings are correct.
Adapt parameters to current market volatility.
Use only for stocks – futures and Forex require adaptation.
📚 Suitable Timeframes - M1-M15
Only highly liquid stocks
🍀 I wish all subscribers good luck in trading and steady profits!
📈 May your charts move in the right direction!
⚠️ Remember: Trading involves risk. Do not invest money you cannot afford to lose!
